A Study on the Selection Criteria of Different Hotels of Delhi NCR in Accordance to the Hr Policies and Market Trends

The hotel industry is one of the most booming industry contributing tremendous growth in the global economy. It has never got affected by any kind of recession or economic turmoil, and this happens because of the fact that individuals/ families would need services of hotel industry for various reasons of human activities like business, recreation, pilgrimage educational tour, historical tours, festivals, carnivals, medical assistance trip etc. and so on. The biggest apprehension about this industry is attrition/turnover rate of employees; and to trounce this matter, selection of the right candidate at the right profile for the right post is the way to success. Selection criteria include all the essential and desirable skills, attributes, experience, and education which an organization decides is necessary for a position. Selection criteria help to select the most capable, effective, suited, experienced, qualified, the person for the job. Applicants must demonstrate and prove the ways in which they will be of valued for the job and the organization. Job selection criteria are also known as key selection criteria or KSC. They are designed to help make the most accurate match between the requirements of a position and the skills of an applicant. For selecting the right candidate, perfect for a particular job, selection has to be well planned, tactically accurate and strategically correct, as there is a huge pressure of short listing, filtering and selecting the right candidate, which makes the whole exercise lengthy as well as painstaking

Sustainability Practices as a Competitive Edge in Five Star Hotels of Delhi: a Study on Manager's Perception

The study aims to conduct an analysis describing the sustainable strategy available for hotels, evaluating its potential to create competitive advantage and exploring how its implementation influences other actors in the industry specifically and the whole area development generally. For the purpose of this study, Delhi has been chosen with a focus on the Five Star and Five-star Deluxe Hotels of the city. A survey was conducted with the employees working in 15 Five stars and Five-star Deluxe Hotels in Delhi. According to the analysis, the sustainable efforts of the hotel include environmental, social and economic initiatives. The results of the survey highlighted the sustainability practices that are being adopted and the extent of their implementation by these hotels. It also showed the relationship between a hotel's sustainability practices and employees' satisfaction

Sensor-based precision nutrient and irrigation management enhances the physiological performance, water productivity, and yield of soybean under system of crop intensification

Sensor-based decision tools provide a quick assessment of nutritional and physiological health status of crop, thereby enhancing the crop productivity. Therefore, a 2-year field study was undertaken with precision nutrient and irrigation management under system of crop intensification (SCI) to understand the applicability of sensor-based decision tools in improving the physiological performance, water productivity, and seed yield of soybean crop. The experiment consisted of three irrigation regimes [I1: standard flood irrigation at 50% depletion of available soil moisture (DASM) (FI), I2: sprinkler irrigation at 80% ETC (crop evapo-transpiration) (Spr 80% ETC), and I3: sprinkler irrigation at 60% ETC (Spr 60% ETC)] assigned in main plots, with five precision nutrient management (PNM) practices{PNM1-[SCI protocol], PNM2-[RDF, recommended dose of fertilizer: basal dose incorporated (50% N, full dose of P and K)], PNM3-[RDF: basal dose point placement (BDP) (50% N, full dose of P and K)], PNM4-[75% RDF: BDP (50% N, full dose of P and K)] and PNM5-[50% RDF: BDP (50% N, full P and K)]} assigned in sub-plots using a split-plot design with three replications. The remaining 50% N was top-dressed through SPAD assistance for all the PNM practices. Results showed that the adoption of Spr 80% ETC resulted in an increment of 25.6%, 17.6%, 35.4%, and 17.5% in net-photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), and intercellular CO2 concentration (Ci), respectively, over FI. Among PNM plots, adoption of PNM3 resulted in a significant (p=0.05) improvement in photosynthetic characters like Pn (15.69 µ mol CO2 m−2 s−1), Tr (7.03 m mol H2O m−2 s−1), Gs (0.175 µmol CO2 mol−1 year−1), and Ci (271.7 mol H2O m2 s−1). Enhancement in SPAD (27% and 30%) and normalized difference vegetation index (NDVI) (42% and 52%) values were observed with nitrogen (N) top dressing through SPAD-guided nutrient management, helped enhance crop growth indices, coupled with better dry matter partitioning and interception of sunlight. Canopy temperature depression (CTD) in soybean reduced by 3.09–4.66°C due to adoption of sprinkler irrigation. Likewise, Spr 60% ETc recorded highest irrigation water productivity (1.08 kg ha−1 m−3). However, economic water productivity (27.5 INR ha−1 m−3) and water-use efficiency (7.6 kg ha−1 mm−1 day−1) of soybean got enhanced under Spr 80% ETc over conventional cultivation. Multiple correlation and PCA showed a positive correlation between physiological, growth, and yield parameters of soybean. Concurrently, the adoption of Spr 80% ETC with PNM3 recorded significantly higher grain yield (2.63 t ha−1) and biological yield (8.37 t ha−1) over other combinations. Thus, the performance of SCI protocols under sprinkler irrigation was found to be superior over conventional practices. Hence, integrating SCI with sensor-based precision nutrient and irrigation management could be a viable option for enhancing the crop productivity and enhance the resource-use efficiency in soybean under similar agro-ecological regions

Prediction of Opioid-Induced Respiratory Depression on Inpatient Wards Using Continuous Capnography and Oximetry: An International Prospective, Observational Trial.

BACKGROUND: Opioid-related adverse events are a serious problem in hospitalized patients. Little is known about patients who are likely to experience opioid-induced respiratory depression events on the general care floor and may benefit from improved monitoring and early intervention. The trial objective was to derive and validate a risk prediction tool for respiratory depression in patients receiving opioids, as detected by continuous pulse oximetry and capnography monitoring. METHODS: PRediction of Opioid-induced respiratory Depression In patients monitored by capnoGraphY (PRODIGY) was a prospective, observational trial of blinded continuous capnography and oximetry conducted at 16 sites in the United States, Europe, and Asia. Vital signs were intermittently monitored per standard of care. A total of 1335 patients receiving parenteral opioids and continuously monitored on the general care floor were included in the analysis. A respiratory depression episode was defined as respiratory rate ≤5 breaths/min (bpm), oxygen saturation ≤85%, or end-tidal carbon dioxide ≤15 or ≥60 mm Hg for ≥3 minutes; apnea episode lasting \u3e30 seconds; or any respiratory opioid-related adverse event. A risk prediction tool was derived using a multivariable logistic regression model of 46 a priori defined risk factors with stepwise selection and was internally validated by bootstrapping. RESULTS: One or more respiratory depression episodes were detected in 614 (46%) of 1335 general care floor patients (43% male; mean age, 58 ± 14 years) continuously monitored for a median of 24 hours (interquartile range [IQR], 17-26). A multivariable respiratory depression prediction model with area under the curve of 0.740 was developed using 5 independent variables: age ≥60 (in decades), sex, opioid naivety, sleep disorders, and chronic heart failure. The PRODIGY risk prediction tool showed significant separation between patients with and without respiratory depression (P \u3c .001) and an odds ratio of 6.07 (95% confidence interval [CI], 4.44-8.30; P \u3c .001) between the high- and low-risk groups. Compared to patients without respiratory depression episodes, mean hospital length of stay was 3 days longer in patients with ≥1 respiratory depression episode (10.5 ± 10.8 vs 7.7 ± 7.8 days; P \u3c .0001) identified using continuous oximetry and capnography monitoring. CONCLUSIONS: A PRODIGY risk prediction model, derived from continuous oximetry and capnography, accurately predicts respiratory depression episodes in patients receiving opioids on the general care floor. Implementation of the PRODIGY score to determine the need for continuous monitoring may be a first step to reduce the incidence and consequences of respiratory compromise in patients receiving opioids on the general care floor

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Why Sugar-free Products on the Menu? a Chef's Perspective

Food was a vital element of living. So many researchers have exposed associations between chronic diseases and food patterns. A food pattern rich in fruits, vegetables, and whole grain is beneficial to health, while a food high in sugar and fat was associated with increased risk of chronic diseases. Healthy catering was not just about taking off chips and cooked breakfasts from the menu. Nowadays many people prefer healthy foods but they must be made tasty and appealing. This is the main challenge of today's hoteliers. An important commercial opportunity exists - providing guests with healthier choices that look and taste good. It was important for the hospitality industry to grasp this market opportunity by offering healthier choices in terms of sugar-free recipes, which customers increasingly want to buy. This study was about the reasons if any which motivate chefs of the 5-star hotels of New Delhi to develop recipes which are sugar-free. The methodology chosen for this study was survey based, conducted among the executive chefs of five-star hotels in New Delhi

A study on the street food dimensions and its effects on consumer attitude and behavioural intentions

Purpose This study aims to find out various dimensions of the risk and benefit perceptions of the consumers of street food vendors. It will identify the reasons which affect consumer’s attitude and consumption patterns towards street foods, which bring about changes in their behavioural intentions (repurchase intention and word of mouth intention). Design/methodology/approach Five risk and two benefit factors were tested on a factor model by exploratory factor analysis using 26 constructs. Two-step approach was followed in which measurement model, having six constructs with 17 measurement items, were assessed, followed by the structural model. This study explained that the consumer attitude is affected by perceived risks and benefits. Further, the risk perception negatively affects the behavioural intentions. A conceptual model was framed to depict the relationships among variables and was empirically tested. Findings The results indicate that risk and benefit perception of consumers are not only inter-related but also responsible for their changes in attitudes towards the street foods. In the factorial analysis, it was found that perceived benefit factors, i.e. convenience and value, are responsible for positively influencing the attitude of consumers towards street food. The findings indicate that reducing risk perception and increasing benefit perception will positively change the patron’s attitude. Originality/value The data collection was done through a structured questionnaire specifically drafted to collect the relevant data for the study from the 658 street food consumers in Delhi. To examine the factorability of 26 items of risk/benefit perception, 586 observations were used

Hepatoprotective activity of ellagic acid against carbon tetrachloride induced hepatotoxicity in rats*

1025-1026Administration of CCl4 to normal rats and consequent oral feeding with ellagic acid (50 mg/kg) provided a significant protection against the biochemical alterations in serum and liver produced by CCl4. In vitro experiments showed that liver microsomes from animals treated with ellagic acid and CCl4 , decreased lipid peroxidation compared to microsome prepared from rats exposed to CCl4 alone

Protective effect of ellagic acid on t-butyl hydroperoxide induced lipid peroxidation in isolated rat hepatocytes

939-940Ellagic acid, a plant polyphenol, showed protective effect on isolated rat hepatocytes against destruction due to lipid peroxide formation induced by t-butyl hydroperoxide in vitro. Ellagic acid inhibited the generation of superoxide anions and hydroxyl radicals both in enzymic and non enzymic systems, thus providing protection against oxidative damage